Factors of process model comprehension : findings from a series of experiments


Autoria(s): Mendling, Jan; Strembeck, Mark; Recker, Jan C.
Data(s)

01/04/2012

Resumo

In order to make good decisions about the design of information systems, an essential skill is to understand process models of the business domain the system is intended to support. Yet, little knowledge to date has been established about the factors that affect how model users comprehend the content of process models. In this study, we use theories of semiotics and cognitive load to theorize how model and personal factors influence how model viewers comprehend the syntactical information of process models. We then report on a four-part series of experiments, in which we examined these factors. Our results show that additional semantical information impedes syntax comprehension, and that theoretical knowledge eases syntax comprehension. Modeling experience further contributes positively to comprehension efficiency, measured as the ratio of correct answers to the time taken to provide answers. We discuss implications for practice and research.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/49413/

Publicador

Elsevier

Relação

http://eprints.qut.edu.au/49413/1/DECSUP11992_acceptedManuscript.pdf

DOI:10.1016/j.dss.2011.12.013

Mendling, Jan, Strembeck, Mark, & Recker, Jan C. (2012) Factors of process model comprehension : findings from a series of experiments. Decision Support Systems, 53(1), pp. 195-206.

Direitos

Copyright 2012 Elsevier B.V.

This is the author’s version of a work that was accepted for publication in Decision Support Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Decision Support Systems, [VOL 53, ISSUE 1, (April 2012)] DOI: 10.1016/j.dss.2011.12.013

Fonte

Information Systems; Science & Engineering Faculty

Palavras-Chave #080603 Conceptual Modelling #150302 Business Information Systems #Business Process Modeling #Model Comprehension #Experiment
Tipo

Journal Article